Microchemical Journal最新文献

{"title":"Single-electrode electrochemiluminescence immunoarray combined with smartphone for high-throughput detection of heart-type fatty acid binding protein","authors":"Mingquan Guo ,&nbsp;Yifeng Pan ,&nbsp;Dexin Du ,&nbsp;Liangbiao Wang ,&nbsp;Wei Nie","doi":"10.1016/j.microc.2025.113249","DOIUrl":"10.1016/j.microc.2025.113249","url":null,"abstract":"<div><div>Acute myocardial infarction (AMI) is a cardiovascular disease with high fatality and acute morbidity. The timely diagnosis and treatment are vital for improving recovery of AMI patients. Heart-type fatty acid binding protein (h-FABP) is an important biomarker for early assessment and exclusion of AMI. Herein, we developed single-electrode electrochemiluminescence (ECL) immunoarray for high throughput and portable detection of h-FABP. This ECL immunoarray was fabricated by successively assembling ECL nanocomposites and h-FABP conjugated gold nanoparticles on the surface of indium tin oxide microchips electrodes and the bovine serum albumin was used in blocking nonspecific binding sites, which can be used for detection of h-FABP. In the presence of h-FABP, the ECL intensity increased with increasing concentration. Thus, a high throughput and portable immunoarray was established for the determination of h-FABP with a linear dynamic range from 0.1 to 1000 pg/mL and a detection limit of 0.09 pg/mL, which exhibited excellent performance compared with other ECL methods. Moreover, the developed ECL immunoarray was used in detecting the h-FABP in clinical sample of human serum, which demonstrated good recoveries in the range of 92.20 %∼108.00 %. Therefore, the proposed ECL immunoarray can effectively handle the determination of clinical samples, which was promising for using the early screening or exclusion for AMI at home or in an ambulance due to portable detection based on smartphone. This strategy is very promising to effectively reduce fatality and acute morbidity of AMI patients.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"212 ","pages":"Article 113249"},"PeriodicalIF":4.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143547965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep learning meets visualization: A novel method for particle size monitoring in fluidized bed coating","authors":"Liang Zhong ,&nbsp;Lele Gao ,&nbsp;Lian Li ,&nbsp;Wenping Yin ,&nbsp;Lei Nie ,&nbsp;Hengchang Zang","doi":"10.1016/j.microc.2025.113256","DOIUrl":"10.1016/j.microc.2025.113256","url":null,"abstract":"<div><div>The accurate monitoring of particle size distribution (PSD) is essential for ensuring the quality of oral solid dosage forms during fluidized bed coating. Here, a novel deep learning visualization framework was developed to predict and visualize PSD values of pellets based on near-infrared spectroscopy (NIRS). A multi-head self-attention convolutional neural network (MHSA-CNN) was designed to extract local spatial features as well as global contextual information from spectra. Bayesian optimization was employed to fine-tune the hyperparameters of the MHSA-CNN, thereby ensuring optimal model performance. Comparative analyses demonstrated that the proposed MHSA-CNN outperformed traditional CNN and partial least squares (PLS) methods in predicting PSD values, highlighting its robustness and accuracy. To further refine the network architecture, conventional method and uniform manifold approximation and projection (UMAP) were utilized to visualize the feature representations of the MHSA-CNN across different layers. The visualizations provided critical insights into the relationship between layer-wise feature transformations and PSD values prediction, facilitating iterative optimization of the MHSA-CNN structure by adjusting the number of layers. This systematic approach not only enhanced the predictive accuracy of the model but also provided a deeper understanding of the network’s inner workings.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"212 ","pages":"Article 113256"},"PeriodicalIF":4.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A validated method using RP-HPLC for the simultaneous quantification of creatine, creatinine, cholesterol, and hyaluronic acid across pharmaceutical, food, and biological matrices","authors":"Khaled Elgendy ,&nbsp;Mounir Zaky ,&nbsp;Dina Abdelaleem","doi":"10.1016/j.microc.2025.113242","DOIUrl":"10.1016/j.microc.2025.113242","url":null,"abstract":"<div><div>This study presents a highly efficient, precise, and sensitive reverse-phase high-performance liquid chromatography (RP-HPLC) method that innovatively integrates the concurrent quantification of four important analytes: creatine, creatinine, cholesterol, and sodium hyaluronate into a single analytical procedure. The development of this integrated method marks a significant advancement over traditional approaches, which often require separate methods for each analyte. HPLC separation was achieved using a Hypersil C18 analytical column (150 mm x 4.6 mm, 5 μm) with a mobile phase consisting of 1 % triethanolamine and 80 % acetonitrile, at a flow rate of 1 mL/min and a detection wavelength of 200 nm at room temperature (25 °C). The method exhibited excellent retention times for creatine, creatinine, cholesterol, and sodium hyaluronate (3.155, 5.215, 2.194, and 3.106 min, respectively) and demonstrated a wide linearity range (25 to 80 µg/mL) with correlation coefficients exceeding 0.999 for all analytes. Validation results confirmed that the method meets the acceptance criteria of the ICH Q2 (R1) guidelines. This innovative approach offers a significant improvement in efficiency, reducing both time and resource consumption while maintaining high accuracy and reliability in simultaneous analysis. Hence it can be successfully used for routine analysis of Creatine, Creatinine, Cholesterol, and Hyaluronic acid in pharmaceutical formulations, food, and human body fluids.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"212 ","pages":"Article 113242"},"PeriodicalIF":4.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spectral and chromatographic fingerprint −based qualitative and quantitative evaluation strategy combined with chemometrics for quality control of functional red yeast","authors":"Ting Yang ,&nbsp;Lan Xue ,&nbsp;Xi Liu ,&nbsp;Chunhui Hao ,&nbsp;Dandan Gong ,&nbsp;Guoxiang Sun","doi":"10.1016/j.microc.2025.113211","DOIUrl":"10.1016/j.microc.2025.113211","url":null,"abstract":"<div><div>The red yeast has significant potential for application in the food industry and in the improvement of cardiovascular diseases. The objective of this study is to develop a rapid, accurate, and comprehensive quality control strategy. Functional and common red yeast were identified through Fourier Transform Infrared (FTIR) spectral fingerprinting combined with Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA). A quantitative prediction model for the indicator component, lovastatin, was constructed by integrating Ultraviolet (UV) spectral fingerprinting with Partial Least Squares (PLS) model. The FTIR and UV spectral quantized fingerprints (QFPs) of functional red yeast were obtained, thereby rendering the spectral information concise. The spectral QFPs were evaluated for qualitative and quantitative similarity by combining them with Systematically Quantified Fingerprint Method (SQFM), and the integration of evaluation results were obtained using the coefficient of variation weighted mean. The combination of High Performance Liquid Chromatography (HPLC) fingerprints and SQFM demonstrated the process stability of the production of functional red yeast into Xuezhikang capsules. This strategy innovatively integrates chemometrics, fingerprinting techniques, and similarity evaluation methods, offering a more efficient and comprehensive approach than traditional identification and quality control methods. It represents a novel paradigm for source-level quality control of functional red yeast.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"212 ","pages":"Article 113211"},"PeriodicalIF":4.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143561917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment and characterization of emerging contaminants in aerosols from novel tobacco products: Emphasis on glycidol, chloropropanol, and potential exposure biomarkers","authors":"Lili Cui ,&nbsp;Yanting Zheng ,&nbsp;Wanwan Ma ,&nbsp;Shulei Han ,&nbsp;Mingxia Wang ,&nbsp;Zhen Liu ,&nbsp;Jili Wang ,&nbsp;Shihao Song ,&nbsp;Huan Chen ,&nbsp;Hongwei Hou ,&nbsp;Qingyuan Hu","doi":"10.1016/j.microc.2025.113245","DOIUrl":"10.1016/j.microc.2025.113245","url":null,"abstract":"<div><div>Despite assertions that novel tobacco products, including heated tobacco products (HTPs) and electronic cigarettes (ECs), contain reduced hazardous substances and are marketed as safer alternatives to traditional cigarettes, they present new challenges. The aerosolization process of components such as glycerol and propylene glycol generates emerging carcinogenic contaminants, specifically glycidol and chloropropanol, which pose significant health risks. To address the insufficient evaluation criteria for carcinogenic contaminants produced by these novel tobacco products, we developed a novel method for the simultaneous quantification of glycidol and chloropropanol. This study investigated the effects of operational variables, including temperature and power settings within the atomization region of the device, as well as the composition of the electronic cigarette liquid, on the emissions of glycerol and chloropropanol. Our findings demonstrate that emissions of both glycerol and chloropropanol increased with elevated device temperatures and power levels, with a stronger correlation observed for glycerol compared to propylene glycol. Furthermore, the research indicated that sucralose is not the only chlorine source contributing to the formation of chloropropanol. Furthermore, the metabolites of chloropropanol—a class 2B carcinogen—in aerosols derived from ECs remain largely unknown. This study employed animal models and population-based experiments to investigate the in vivo metabolic processes of glycidol and chloropropanol. The findings revealed that 2,3-dihydroxypropylmercapturic acid (23HPMA), a metabolite formed from both compounds, may be a valuable biomarker for assessing exposure to novel tobacco products. Our research provides a robust analytical framework for detecting these contaminants in aerosols from novel tobacco products and highlights the significant influence of device settings and e-liquid composition on compound emissions, emphasizing the necessity for thorough safety evaluations. Additionally, this study offers evidence for identifying exposure biomarkers generated from the metabolism of emerging contaminants, particularly chloropropanol, in the human body.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"212 ","pages":"Article 113245"},"PeriodicalIF":4.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A sensitive molecularly imprinted poly(o-aminophenol)-based electrochemical sensor for propiconazole in food samples using reduced graphene oxide- chitosan composite","authors":"Reda Elshafey,&nbsp;Ghada Fathey Abo–Sobehy,&nbsp;Abd–Elgawad Radi","doi":"10.1016/j.microc.2025.113255","DOIUrl":"10.1016/j.microc.2025.113255","url":null,"abstract":"<div><div>The presence of propiconazole (PRO), an endocrine disruptor and persistent triazole fungicide, in surface water, demanded the development of simple, and sensitive sensors. A reusable molecularly imprinted polymer (MIP)-based electrochemical sensor was developed for the sensitive detection of PRO using poly (<em>o</em>-aminophenol) and an electrochemically reduced graphene oxide-chitosan (ERGO-CS). The poly <em>o</em>-aminophenol recognition receptors were electrogenerated on the surface of an ERGO-modified glassy carbon electrode in the presence of PRO as a template. The ERGO-CS film improved the electrode surface area which loads a high density of PRO-imprinted sites on the electrode surface. Scanning electron microscopy, voltammetric, and impedance techniques demonstrated the successful fabrication of the MIP sensor. The drop in the peak current and increment in the charge transfer resistance of the redox probe [Fe(CN)₆]^3−/4− upon selective recognition of RPO to the MIP sensor are employed as the sensor responses.</div><div>Under the optimal parameters of monomer type, monomer to target molar ratio, electropolymerization conditions, and the removal method, the MIP sensor achieved two linear responses over the PRO concentration range of (0.01 pM to 1 pM) and (1 pM to 10 µM) with a limit of detection of about 0.008 pM for DPV and EIS methods. The MIP sensor exhibited superior selectivity against the interferent pesticides. The PRO-MIP sensor exhibited acceptable reproducibility and can be regenerated up to 6 cycles. The MIP sensor has shown satisfactory accuracy for the quantification of PRO in soil, agriculture water, wheat flour, milk, and cucumber samples with good recovery 87.59 % to 117.94 %) and RSD of 1.79 to 14.98 %. The MIP sensor offers a promising alternative for monitoring PRO in environmental samples.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"212 ","pages":"Article 113255"},"PeriodicalIF":4.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143561824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Classification and research progress of aggregation-induced electrochemiluminescence materials for sensoring application","authors":"Di Zhang ,&nbsp;Chenchen Li ,&nbsp;Tai Xiang ,&nbsp;Yanbao Yu ,&nbsp;Rui Xu ,&nbsp;Yong Zhang","doi":"10.1016/j.microc.2025.113241","DOIUrl":"10.1016/j.microc.2025.113241","url":null,"abstract":"<div><div>In recent years, the rapid development of electrochemiluminescence (ECL) sensors has driven the design of novel luminophores to meet the demands for high sensitivity and reliability in analytical applications. Since Cola introduced the concept of aggregation-induced electrochemiluminescence (AIECL), AIECL materials have opened new avenues for optimizing ECL sensors. This paper focuses on AIECL materials, classifies them based on their structures, and summarizes their applications in ECL sensors. Finally, inspired by the use of AIECL luminophores, the prospects and challenges of AIECL materials and sensors are discussed, highlighting their significance in advancing sensing and analytical technologies.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"212 ","pages":"Article 113241"},"PeriodicalIF":4.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ti–O coupled graphene edges induced high electrochemical activity of the carbon film","authors":"Yuanyuan Cao,&nbsp;Linwang Li,&nbsp;Xuebin Liu,&nbsp;Haohua Zhong","doi":"10.1016/j.microc.2025.113258","DOIUrl":"10.1016/j.microc.2025.113258","url":null,"abstract":"<div><div>In this work, we investigated the electrochemical activity induced by the Ti–O coupled graphene edges on the graphene structured carbon (GSC) film. The Ti-O-GSC film was prepared by the electron cyclotron resonance (ECR) plasma sputtering system under low energy electron irradiation with O and Ti atoms doped in one step. According to the nanostructure characterization, the graphene edges and groups with O and Ti were formed on the surface of film. In the Fe(CN)₆^4−/3− and Fe^3+/2+ redox systems, the redox peak separation was reduced to 69.6 m V and 611.5 m V, respectively, and the charge-transfer resistance decreased from 507.50 Ω·cm² to 15.88 Ω·cm², due to the doping of O and Ti. In the sensing of the DNA bases, the Ti-O-GSC film reduced the oxidation potentials to 138 mV and 755.2 mV for adenine and guanine, and realized the simultaneous detection of adenine and guanine with detection limits of 1.09 μM and 0.76 μM. The mechanism could be that the simultaneous presence of Ti and O atoms at the graphene edge facilitates numerous active sites, improving the electrochemical activity of the Ti-O-GSC film. These results indicate that the Ti-O-GSC films are promising electrode materials to construct sensitive electrochemical biosensors.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"212 ","pages":"Article 113258"},"PeriodicalIF":4.9,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143547821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nitrogen dioxide monitoring using alternative sorbent-based cotton fabric with smartphone-integrated colorimetric detection","authors":"Sutasinee Apichai ,&nbsp;Thanawat Pattananandecha ,&nbsp;Kanokwan Kiwfo ,&nbsp;Kate Grudpan ,&nbsp;Wolfgang Frenzel ,&nbsp;Chalermpong Saenjum","doi":"10.1016/j.microc.2025.113231","DOIUrl":"10.1016/j.microc.2025.113231","url":null,"abstract":"<div><div>A cost-effective and sustainable approach for monitoring the concentration of nitrogen dioxide (NO₂) in air was developed using smartphone-based colorimetric detection and passive air sampling. The cotton-based adsorbent moistened with triethanolamine was assembled into a passive sampler to sample NO₂ in air. NO₂ was then converted to nitrite which reacted with the Griess reagent on the cotton pads to produce a pink product. The product was photographed in a light-controlled box and subsequently analyzed using a custom-built app to convert it to NO₂ concentration. The detection and quantification limits were 0.07 and 0.21 µg, respectively. Field deployment of the developed approach for 48 and 96 h in high-traffic areas demonstrated NO₂ measurements statistically comparable with that of spectrophotometric analysis at a 95 % confidence level. In addition, the on-site monitoring of NO₂ by the developed approach was also agreed with active sampling in connection with a chemiluminescence-based NO₂ analyzer. The developed approach demonstrated effective ambient NO₂ monitoring in high-traffic areas along Suthep Road, Muang, Chiang Mai, Thailand, with continuous measurements over three days. This approach enabled a cost-effective acquisition of more spatially and temporally representative air pollution data. It aligns with the UN Sustainable Development Goal 3 by helping to reduce health risks from hazardous chemicals and environmental pollution.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"212 ","pages":"Article 113231"},"PeriodicalIF":4.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimodal hybrid linear auto-weighting models: Application of ultraviolet spectroscopy for growth prediction of marine pathogenic bacteria","authors":"Ying Chen,&nbsp;Jin Wang,&nbsp;Junfei Liu,&nbsp;Junru Zhang,&nbsp;Chenglong Wang,&nbsp;Wanwen Li","doi":"10.1016/j.microc.2025.113209","DOIUrl":"10.1016/j.microc.2025.113209","url":null,"abstract":"<div><div>Spectral contactless detection techniques are real-time and extremely sensitive. It shows great potential for rapid prediction of growth trends of marine microorganisms. This paper proposes a real-time detection system that integrates ultraviolet spectroscopy (UV) technology with the PPSA model (1DCNN-PLSR Parallel 1DCNN-SVR Adaptation). The system realized the detection of microbial concentration and the prediction of growth trend. A UV absorption spectral dataset was constructed by collecting ultraviolet (UV) spectral data of actinomycetes during growth and combining it with the microscopic hemocyte plate counting method. For multiple feature intervals characterizing actinomycetes in UV absorption spectral curves, spectral data feature extraction was performed by a one-dimensional convolutional neural network (1DCNN), and prediction experiments were conducted using multiple parallel network models. Further exploration of weight adaptive fine-tuning of model parameter shares to optimize overall prediction accuracy. The experimental evaluation showed that the model achieved an R² of 0.9994, an MAE of 0.4181, and an average error of 2.0 * 10⁶cells/mL in the assay results. Rapid characterization and detection of the growth of known and unknown pathogenic bacteria using ultraviolet absorption spectroscopy is valuable for the study of marine and human ecosystems.</div></div>","PeriodicalId":391,"journal":{"name":"Microchemical Journal","volume":"212 ","pages":"Article 113209"},"PeriodicalIF":4.9,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143547822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}